UK FLIGHT DELAY INDEX

derived from CAA punctuality statistics for UK reporting airports

How often are these flights late or cancelled?

MAN ↔ COPENHAGEN

In the twelve months from July 2025 to June 2026, 32.8% of 1,603 movements arriving into MAN were disrupted — that is, they landed more than fifteen minutes late or were cancelled at short notice.

Put the other way round, 67.2% of 1,603 movements arrived on time by the industry's fifteen-minute standard. Severe delays were rarer: about one arrival in every 267 crossed the three-hour mark. Lower is better on every figure on this page. These numbers describe what happened on the route; they are not a prediction for any individual flight.

Definitions, denominators and limits
  • “Disrupted” means an arrival more than fifteen minutes late or a short-notice cancellation. The denominator is operated movements plus short-notice cancellations.
  • Arrivals into the UK airport only; all published carriers.
  • Crossing three hours is one condition for compensation, but monthly data cannot establish any individual passenger’s rights.
  • Delay cause is not published in the open data.
  • Source: CAA punctuality statistics · snapshot 17/08/2026 10:24 · method route-record-v2.1.

0 operations (0.00%) excluded because their published percentages could not be reconciled to whole numbers. Excluded operations enter neither the numerator nor the denominator. Outcome figures and comparisons are unavailable when the excluded share exceeds fifteen percent.

The four numbers at a glance

In the twelve months from July 2025 to June 2026, 32.8% of 1,603 movements were disrupted and 0.9% of 1,603 movements were cancelled at short notice.

When a flight was late, it was typically late by the range shown below. The delay is given as a range, not a single number, because the regulator rounds its published percentages and never says how many flights landed exactly on time.

Disruption shareShort-notice cancellationsAverage delay among delayed flights only — boundsOperations
32.8% of 1,603 movements0.9% of 1,603 movements28.0–58.0 min; N of delayed flights=511–1,0001,603
Definitions, denominators and limits

The bounds account for CAA rounding and the unknown number of zero delays. A point average across all operated movements, including punctual ones, would answer a different question and is not used here.

When it is late, how late is it?

Most delays here are short. The ladder below shows how many arrivals crossed each threshold, from a quarter of an hour up to six hours; each rung can only be smaller than the one above it.

Cancellations are counted separately: 0.9% of 1,603 movements. “One in N” means how many arrivals you would typically see between events at that level.

Delay threshold ladder; count and share of known operations15 min31.9%30 min18.7%60 min8.2%120 min1.9%180 min0.4%360 min0.0%
Delay ladder table: share, movements and one-in-N
DelayShare and nMovementsOne delay in every N operations
>15 min31.9% of 1,603 movements5113.1
>30 min18.7% of 1,603 movements2995.4
>60 min8.2% of 1,603 movements13112.2
>120 min1.9% of 1,603 movements3151.7
>180 min0.4% of 1,603 movements6267.2
>360 minno events in 1,603 movements0no observed events, which is not zero risk
Definitions, denominators and limits

CAA counts delays strictly greater than each threshold, so exactly three hours is inseparable from the previous bucket. The ladder describes the archive, not a forecast.

Slightly late, or occasionally a disaster?

When this route runs late, it is usually only a little late: big blow-ups are rarer here than on the typical UK route.

The histogram below counts every recorded arrival, from more than fifteen minutes early through to more than six hours late. A tall bar near the middle and a thin right-hand tail is the healthy shape.

Nine delay buckets, minutes; share of all recorded operations>15 early825.1%15–1 early50731.6%0–15 late48930.5%16–3021213.2%31–6016810.5%61…1201006.2%121…180251.6%181…36060.4%>36000.0%D=1,603
Definitions, denominators and limits

Ratio of the long tail to sixteen-to-sixty-minute delays: 0.0158; corpus median 0.0217; 2056 routes in the corpus. The shape is compared conditionally among delays; the class name does not measure absolute frequency. Histogram counts and shares cover all recorded operations including unmatched records; reconstructed uniquely.

Has this route got better or worse since 2018?

Best month: Mar 2025, 7.2% of 139 movements. Worst month: Jul 2022, 58.3% of 96 movements.

The line traces every month in the archive; lower is better. Gaps are months with no published data, never zeros. The 2020 and 2021 readings reflect the pandemic, not normal service.

Monthly disruption share; gaps mean no published dataJan 2018: 11.2%; sample: 982018Feb 2018: 17.3%; sample: 104Mar 2018: 32.8%; sample: 119Apr 2018: 20.0%; sample: 125May 2018: 22.2%; sample: 126Jun 2018: 31.7%; sample: 120Jul 2018: 24.2%; sample: 99Aug 2018: 19.1%; sample: 110Sep 2018: 19.3%; sample: 119Oct 2018: 19.2%; sample: 125Nov 2018: 12.5%; sample: 104Dec 2018: 21.0%; sample: 105Jan 2019: 20.0%; sample: 852019Feb 2019: 9.9%; sample: 91Mar 2019: 16.0%; sample: 106Apr 2019: 28.3%; sample: 120May 2019: 21.1%; sample: 128Jun 2019: 30.8%; sample: 120Jul 2019: 21.7%; sample: 106Aug 2019: 26.4%; sample: 121Sep 2019: 31.2%; sample: 125Oct 2019: 31.0%; sample: 126Nov 2019: 13.7%; sample: 102Dec 2019: 12.6%; sample: 103Jan 2020: 27.7%; sample: 832020Feb 2020: 26.5%; sample: 98Mar 2020: 28.4%; sample: 67Apr 2020: suppressed: fewer than twenty movements×May 2020: suppressed: fewer than twenty movements×Jun 2020: suppressed: fewer than twenty movements×Jul 2020: suppressed: fewer than twenty movements×Aug 2020: 10.7%; sample: 28Sep 2020: 0.0%; sample: 40Oct 2020: 3.6%; sample: 28Nov 2020: suppressed: fewer than twenty movements×Dec 2020: suppressed: fewer than twenty movements×Jan 2021: suppressed: fewer than twenty movements×2021Feb 2021: suppressed: fewer than twenty movements×Mar 2021: suppressed: fewer than twenty movements×Apr 2021: no data×May 2021: suppressed: fewer than twenty movements×Jun 2021: 6.7%; sample: 30Jul 2021: 28.6%; sample: 21Aug 2021: 15.0%; sample: 40Sep 2021: 29.6%; sample: 54Oct 2021: 26.8%; sample: 56Nov 2021: 27.7%; sample: 83Dec 2021: 40.2%; sample: 82Jan 2022: 25.5%; sample: 552022Feb 2022: 45.6%; sample: 79Mar 2022: 30.3%; sample: 99Apr 2022: 38.0%; sample: 108May 2022: 47.1%; sample: 119Jun 2022: 45.1%; sample: 122Jul 2022: 58.3%; sample: 96Aug 2022: 37.8%; sample: 98Sep 2022: 46.9%; sample: 113Oct 2022: 43.1%; sample: 130Nov 2022: 15.8%; sample: 101Dec 2022: 47.4%; sample: 95Jan 2023: 23.4%; sample: 942023Feb 2023: 34.4%; sample: 93Mar 2023: 29.2%; sample: 106Apr 2023: 48.7%; sample: 119May 2023: 32.6%; sample: 138Jun 2023: 57.8%; sample: 135Jul 2023: 49.6%; sample: 127Aug 2023: 42.8%; sample: 138Sep 2023: 32.9%; sample: 143Oct 2023: 30.1%; sample: 146Nov 2023: 24.6%; sample: 118Dec 2023: 42.1%; sample: 121Jan 2024: 32.6%; sample: 862024Feb 2024: 35.6%; sample: 101Mar 2024: 25.9%; sample: 112Apr 2024: 35.5%; sample: 141May 2024: 19.2%; sample: 146Jun 2024: 35.4%; sample: 130Jul 2024: 40.5%; sample: 116Aug 2024: 29.6%; sample: 135Sep 2024: 43.3%; sample: 141Oct 2024: 19.9%; sample: 141Nov 2024: 16.6%; sample: 145Dec 2024: 27.9%; sample: 136Jan 2025: 40.0%; sample: 952025Feb 2025: 23.7%; sample: 118Mar 2025: 7.2%; sample: 139Apr 2025: 13.7%; sample: 124May 2025: 12.6%; sample: 127Jun 2025: 26.4%; sample: 125Jul 2025: 22.9%; sample: 96Aug 2025: 20.8%; sample: 120Sep 2025: 41.2%; sample: 131Oct 2025: 36.0%; sample: 139Nov 2025: 27.5%; sample: 142Dec 2025: 43.6%; sample: 156Jan 2026: 38.7%; sample: 1062026Feb 2026: 52.3%; sample: 132Mar 2026: 23.6%; sample: 157Apr 2026: 23.2%; sample: 138May 2026: 21.1%; sample: 142Jun 2026: 40.3%; sample: 144Pandemic regime Jun 2020Summer 2022 breakdown Jul 2022NATS system failure Aug 2023Heathrow fire closure Mar 2025100%0%
Every month since 2018, including gaps and suppressed cells
MonthDisruption on arrivals
Jan 201811.2% of 98 movements
Feb 201817.3% of 104 movements
Mar 201832.8% of 119 movements
Apr 201820.0% of 125 movements
May 201822.2% of 126 movements
Jun 201831.7% of 120 movements
Jul 201824.2% of 99 movements
Aug 201819.1% of 110 movements
Sep 201819.3% of 119 movements
Oct 201819.2% of 125 movements
Nov 201812.5% of 104 movements
Dec 201821.0% of 105 movements
Jan 201920.0% of 85 movements
Feb 20199.9% of 91 movements
Mar 201916.0% of 106 movements
Apr 201928.3% of 120 movements
May 201921.1% of 128 movements
Jun 201930.8% of 120 movements
Jul 201921.7% of 106 movements
Aug 201926.4% of 121 movements
Sep 201931.2% of 125 movements
Oct 201931.0% of 126 movements
Nov 201913.7% of 102 movements
Dec 201912.6% of 103 movements
Jan 202027.7% of 83 movements
Feb 202026.5% of 98 movements
Mar 202028.4% of 67 movements
Apr 2020suppressed: fewer than twenty movements
May 2020suppressed: fewer than twenty movements
Jun 2020suppressed: fewer than twenty movements
Jul 2020suppressed: fewer than twenty movements
Aug 202010.7% of 28 movements — small sample, not ranked
Sep 2020no events in 40 movements — small sample, not ranked
Oct 20203.6% of 28 movements — small sample, not ranked
Nov 2020suppressed: fewer than twenty movements
Dec 2020suppressed: fewer than twenty movements
Jan 2021suppressed: fewer than twenty movements
Feb 2021suppressed: fewer than twenty movements
Mar 2021suppressed: fewer than twenty movements
Apr 2021no data
May 2021suppressed: fewer than twenty movements
Jun 20216.7% of 30 movements — small sample, not ranked
Jul 202128.6% of 21 movements — small sample, not ranked
Aug 202115.0% of 40 movements — small sample, not ranked
Sep 202129.6% of 54 movements
Oct 202126.8% of 56 movements
Nov 202127.7% of 83 movements
Dec 202140.2% of 82 movements
Jan 202225.5% of 55 movements
Feb 202245.6% of 79 movements
Mar 202230.3% of 99 movements
Apr 202238.0% of 108 movements
May 202247.1% of 119 movements
Jun 202245.1% of 122 movements
Jul 202258.3% of 96 movements
Aug 202237.8% of 98 movements
Sep 202246.9% of 113 movements
Oct 202243.1% of 130 movements
Nov 202215.8% of 101 movements
Dec 202247.4% of 95 movements
Jan 202323.4% of 94 movements
Feb 202334.4% of 93 movements
Mar 202329.2% of 106 movements
Apr 202348.7% of 119 movements
May 202332.6% of 138 movements
Jun 202357.8% of 135 movements
Jul 202349.6% of 127 movements
Aug 202342.8% of 138 movements
Sep 202332.9% of 143 movements
Oct 202330.1% of 146 movements
Nov 202324.6% of 118 movements
Dec 202342.1% of 121 movements
Jan 202432.6% of 86 movements
Feb 202435.6% of 101 movements
Mar 202425.9% of 112 movements
Apr 202435.5% of 141 movements
May 202419.2% of 146 movements
Jun 202435.4% of 130 movements
Jul 202440.5% of 116 movements
Aug 202429.6% of 135 movements
Sep 202443.3% of 141 movements
Oct 202419.9% of 141 movements
Nov 202416.6% of 145 movements
Dec 202427.9% of 136 movements
Jan 202540.0% of 95 movements
Feb 202523.7% of 118 movements
Mar 20257.2% of 139 movements
Apr 202513.7% of 124 movements
May 202512.6% of 127 movements
Jun 202526.4% of 125 movements
Jul 202522.9% of 96 movements
Aug 202520.8% of 120 movements
Sep 202541.2% of 131 movements
Oct 202536.0% of 139 movements
Nov 202527.5% of 142 movements
Dec 202543.6% of 156 movements
Jan 202638.7% of 106 movements
Feb 202652.3% of 132 movements
Mar 202623.6% of 157 movements
Apr 202623.2% of 138 movements
May 202621.1% of 142 movements
Jun 202640.3% of 144 movements

What did the big disruptions actually do here?

Each named event below is shown against this route’s own baseline for the twelve months before it, and against how long the route took to get back to that baseline.

A month worse than baseline is not proof the named event caused it: the open data carry no delay-cause field at all. Some events sit near the edge of the archive, which limits how long a recovery can be traced.

EventDirectionDisruption that monthBaseline beforeReturn to baseline
Pandemic regime · Jun 2020Arrivalssuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Pandemic regime · Jun 2020Departuressuppressed: fewer than twenty movementsno complete baselinenot enough data: needs a complete baseline and a publishable event month
Summer 2022 breakdown · Jul 2022Arrivals58.3% of 96 movements33.3% across 918 flightsreturned after 4 months
Summer 2022 breakdown · Jul 2022Departures54.7% of 95 movements26.3% across 920 flightsreturned after 4 months
NATS system failure · Aug 2023Arrivals42.8% of 138 movements38.9% across 1,349 flightsreturned the next month
NATS system failure · Aug 2023Departures41.6% of 137 movements35.0% across 1,346 flightsreturned the next month
Heathrow fire closure · Mar 2025Arrivals7.2% of 139 movements29.8% across 1,556 flightsreturned the next month
Heathrow fire closure · Mar 2025Departures10.1% of 139 movements31.7% across 1,554 flightsreturned the next month
Definitions, denominators and limits

The baseline is the unweighted mean share over the twelve preceding calendar months. The return window is the following eight months, up to the end of the archive. Return means the first observed value at or below the baseline; it is not the duration of the disruption itself. If the event month is already below the baseline, counting still starts the month after. Gaps and suppressed cells are not treated as zeros or as recovery.

Which time of year has historically been hardest?

September has historically been the hardest month on this route: in a typical September, 37.0% of arrivals were disrupted, measured across 6 Septembers in the archive. November has been the calmest, at 16.2% across 6 Novembers.

Even September has ranged from 19.3% to 46.9% in different years, so this is a record of what happened, not a forecast of what will. Lower is better throughout.

Each cell is one calendar month of one year; the number is the share of that month’s arrivals that were disrupted. Darker means worse. A blank cell means no published data, not zero.

Seasonality: calendar month by year; share and nJanFebMarAprMayJunJulAugSepOctNovDec201920.0% of 85 movements9.9% of 91 movements16.0% of 106 movements28.3% of 120 movements21.1% of 128 movements30.8% of 120 movements21.7% of 106 movements26.4% of 121 movements31.2% of 125 movements31.0% of 126 movements13.7% of 102 movements12.6% of 103 movements202027.7% of 83 movements26.5% of 98 movements28.4% of 67 movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movements10.7% of 28 movements †no events in 40 movements †3.6% of 28 movements †suppressed: fewer than twenty movementssuppressed: fewer than twenty movements2021suppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementsno datasuppressed: fewer than twenty movements6.7% of 30 movements †28.6% of 21 movements †15.0% of 40 movements †29.6% of 54 movements26.8% of 56 movements27.7% of 83 movements40.2% of 82 movements202225.5% of 55 movements45.6% of 79 movements30.3% of 99 movements38.0% of 108 movements47.1% of 119 movements45.1% of 122 movements58.3% of 96 movements37.8% of 98 movements46.9% of 113 movements43.1% of 130 movements15.8% of 101 movements47.4% of 95 movements202323.4% of 94 movements34.4% of 93 movements29.2% of 106 movements48.7% of 119 movements32.6% of 138 movements57.8% of 135 movements49.6% of 127 movements42.8% of 138 movements32.9% of 143 movements30.1% of 146 movements24.6% of 118 movements42.1% of 121 movements202432.6% of 86 movements35.6% of 101 movements25.9% of 112 movements35.5% of 141 movements19.2% of 146 movements35.4% of 130 movements40.5% of 116 movements29.6% of 135 movements43.3% of 141 movements19.9% of 141 movements16.6% of 145 movements27.9% of 136 movements202540.0% of 95 movements23.7% of 118 movements7.2% of 139 movements13.7% of 124 movements12.6% of 127 movements26.4% of 125 movements22.9% of 96 movements20.8% of 120 movements41.2% of 131 movements36.0% of 139 movements27.5% of 142 movements43.6% of 156 movements202638.7% of 106 movements52.3% of 132 movements23.6% of 157 movements23.2% of 138 movements21.1% of 142 movements40.3% of 144 movementsno datano datano datano datano datano data
Month-by-month table: median, observed range and sample
MonthMedianObserved rangeSample
Jan25.5%11.2–40.0%7 months, 619 flights
Feb34.4%9.9–52.3%7 months, 718 flights
Mar25.9%7.2–32.8%7 months, 838 flights
Apr28.3%13.7–48.7%7 months, 875 flights
May21.1%12.6–47.1%7 months, 926 flights
Jun35.4%26.4–57.8%7 months, 896 flights
Jul32.4%21.7–58.3%6 months, 640 flights
Aug28.0%19.1–42.8%6 months, 722 flights
Sep37.0%19.3–46.9%6 months, 772 flights
Oct30.5%19.2–43.1%6 months, 807 flights
Nov16.2%12.5–27.5%6 months, 712 flights
Dec35.0%12.6–47.4%6 months, 716 flights
Definitions, denominators and limits

The matrix shows the last eight calendar years, including an incomplete final year; the start of the archive is kept in the history above. Seasonal summaries use the whole available archive, excluding the pandemic regime 2020–2021; this is an observed range, not a forecast. Zero events, missing data and suppressed cells are marked separately. † marks a small sample, described but not ranked. For ranges the colour follows the upper bound.

Which airline has the better record here?

On the published record there is no clear winner: Sas 21.8% of 643 movements, Ryanair 28.5% of 438 movements, Norwegian Air Sweden Ab 36.9% of 141 movements. Observed shares differ; the mix of operations is not matched, so no causal conclusion follows.

Figures cover arrivals, July 2025 to June 2026; lower is better in every column. Carriers with fewer than twenty published flights are suppressed rather than shown as zero. The page makes no ranking: the operations behind these shares are not matched for aircraft, time of day or season.

Observed disruption share by optionEasyjet Uk55.6% of 351 flightsNorwegian Air Sweden Ab36.9% of 141 flightsRyanair28.5% of 438 flightsRyanair Uk †43.3% of 30 flightsSas21.8% of 643 flights
Airline comparison table: operations, cancellations, three-hour delays and data quality
AirlineOperationsDisruptionCancellations>180 minData quality
Atlantic Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Danish Air Transportsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Airlinesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Easyjet Uk35155.6% of 351 movements0.6% of 351 movements1.1% of 351 movementsdescriptive comparison
Enter Airsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jet Timesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Jet2.Comsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Norwegian Air Internationalsuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Norwegian Air Shuttlesuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Norwegian Air Shuttle Aoc Assuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Norwegian Air Sweden Ab14136.9% of 141 movementsno events in 141 movementsno events in 141 movementsdescriptive comparison
Ryanair43828.5% of 438 movements0.2% of 438 movements0.5% of 438 movementsdescriptive comparison
Ryanair Uk3043.3% of 30 movements — small sample, not rankedno events in 30 movements — small sample, not rankedno events in 30 movements — small sample, not rankedsmall sample; not ranked
Sas64321.8% of 643 movements1.7% of 643 movementsno events in 643 movementsdescriptive comparison
Thomas Cook Scandanaviasuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Titan Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Tui Airwayssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed

The noise check is a descriptive approximation assuming independent operations. Delay correlation and mix differences are not estimated; no ranking is derived.

Would another UK airport have been better?

Among UK airports flying to this city with enough flights to publish, NCL had the lowest disruption share at 3.3% of 91 movements and BRS the highest at 26.2% of 382 movements. This route sits at 32.8% of 1,603 movements.

Each figure is arrivals into that UK airport, all carriers combined, over the same twelve months. It is a historical record, not a recommendation about where to fly from, and it says nothing about getting to or from each airport on the ground.

Observed disruption share by optionAbz ↔ Copenhagen16.2% of 80 flightsBhx ↔ Copenhagen14.8% of 291 flightsBrs ↔ Copenhagen26.2% of 382 flightsEdi ↔ Copenhagen25.8% of 976 flightsLgw ↔ Copenhagen20.4% of 1,604 flightsLhr ↔ Copenhagen18.5% of 3,591 flightsNcl ↔ Copenhagen3.3% of 91 flightsStn ↔ Copenhagen20.5% of 1,153 flights
Airport comparison table: operations, cancellations, three-hour delays and data quality
Other UK airport to the same cityOperationsDisruptionCancellations>180 minData quality
Abz ↔ Copenhagen8016.2% of 80 movementsno events in 80 movementsno events in 80 movementsdescriptive comparison
Bfs ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhd ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Bhx ↔ Copenhagen29114.8% of 291 movements3.4% of 291 movements0.3% of 291 movementsdescriptive comparison
Brs ↔ Copenhagen38226.2% of 382 movements1.0% of 382 movements0.3% of 382 movementsdescriptive comparison
Cwl ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Doncaster-Sheffield ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Edi ↔ Copenhagen97625.8% of 976 movements0.3% of 976 movements0.5% of 976 movementsdescriptive comparison
Ema ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Gla ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Iom ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lba ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Lgw ↔ Copenhagen1,60420.4% of 1,604 movements0.4% of 1,604 movementsno events in 1,604 movementsdescriptive comparison
Lhr ↔ Copenhagen3,59118.5% of 3,591 movements1.2% of 3,591 movements0.1% of 3,591 movementsdescriptive comparison
Lpl ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ltn ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Ncl ↔ Copenhagen913.3% of 91 movementsno events in 91 movementsno events in 91 movementsdescriptive comparison
Sen ↔ Copenhagensuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed: fewer than twenty movementssuppressed
Stn ↔ Copenhagen1,15320.5% of 1,153 movements0.6% of 1,153 movements0.5% of 1,153 movementsdescriptive comparison

Does the direction you are flying change anything?

Yes: arrivals into MAN ran 32.8% of 1,603 movements disrupted, departures 37.0% of 1,604 movements.

It matters legally as well as practically: a departure from the UK and an arrival into the UK on a UK or EU carrier fall under different conditions, and a departure delay does not establish a late arrival at your final destination.

Arrivals and departures side by side
DirectionDisruptionCancellationsOver three hours
Arrivals into MAN32.8% of 1,603 movements0.9% of 1,603 movements0.4% of 1,603 movements
Departures from MAN37.0% of 1,604 movements0.9% of 1,604 movements0.5% of 1,604 movements
Definitions, denominators and limits

CAA conditions on delays and cancellations.

How many flights here crossed the three-hour mark?

The table below counts arrivals and departures that ran more than three hours late — the threshold that is one of the conditions for compensation — across the whole archive and within the last six years.

The pound figure beside each count is arithmetic, not money anyone received: it is the count multiplied by the maximum statutory amount for this distance band. Whether any of those flights actually qualified is not knowable from this data.

DirectionWindowFlights over three hoursArithmetic statutory ceiling
ArrivalsWhole archive · Jan 2018–Jun 202644 flights out of 10,00944 × £220 = £9,680
ArrivalsLast 72 months · Jul 2020–Jun 202633 flights out of 7,07433 × £220 = £7,260
DeparturesWhole archive · Jan 2018–Jun 202648 flights out of 10,00448 × £220 = £10,560
DeparturesLast 72 months · Jul 2020–Jun 202635 flights out of 7,07235 × £220 = £7,700
Definitions, denominators and limits

Full formula: the count is the sum of the two tail buckets across months, carriers and service types in one direction; the ceiling is that count multiplied by the maximum statutory amount for the distance band. The condition is: if every such delay had been the carrier's fault and a claim had been filed on every one of them.

This is conditional arithmetic over operations: passenger numbers, legal applicability and the number of claims are all unknown. For departures it is an arithmetic scenario only, because arrival at the final point is not observed. For long routes the maximum ceiling is used; any reduction in the payable amount is not calculated.

The archive window is counted from the last month of data, not from today: this is not a limitation check for an individual case. The CAA states six years for England and Wales and five for Scotland. CAA: time limits and how to complain. Information, not a legal service.

The facts about this route

Route reference table: codes, distance, frequency, archive span
FieldValue
UK airportMANCHESTER · MAN
Final point / countryCOPENHAGEN / DENMARK
Final point codesCPH / EKCH
Great-circle distance995 km
Maximum statutory amount for the band£220
Average operated arrivals per day4.35
Presence in the latest twelve-month windowoperations present in every month of the latest twelve-month window
First and last active monthJan 2018–Jun 2026
Months with operations in the archive96

origin_destination is the final point of the CAA service, not evidence of a nonstop connection. The distance joins the coordinates of the named airports; the actual track is unknown. Frequency describes published operations.

What this data cannot tell you

Delay cause is not published in the regulator's open data. Monthly aggregates describe a population, not a specific flight. Cells below twenty operations are suppressed; twenty to forty-nine are descriptive only and not ranked. Arrivals and departures do not add up. Cancellations are short-notice only, by the CAA definition. A movement is not the same as a scheduled flight.

0 operations (0.00%) excluded because their published percentages could not be reconciled to whole numbers. Excluded operations enter neither the numerator nor the denominator. Outcome figures and comparisons are unavailable when the excluded share exceeds fifteen percent.

Data-quality counters for this route

Zero observed events does not mean zero risk. Operator coverage against the Summary file is not established in this record; comparisons are limited to the published population.

Unmatched records: 0; all recorded operations: 1,603; excluded by quarantine: 0.

Quick answers

How often is this route disrupted?

32.8% of 1,603 movements over July 2025 to June 2026. Arrivals into the UK airport; all published carriers.

How many flights are cancelled at short notice?

0.9% of 1,603 movements in the same window.

How many delays crossed three hours?

0.4% of 1,603 movements in the same window; these are observed movements, not a count of claims.

What does the delay distribution look like?

chronically slightly late. The class compares the tail with short delays across routes in the corpus.

What distance is used?

995 km, great-circle.

Can compensation entitlement be established here?

No. The cause and the circumstances of an individual flight are unknown. Official CAA conditions.

Why do some cells say "no data"?

That month is absent from the published series. Small cells carry a separate "suppressed" marker; a gap is never replaced by a zero.

How this was calculated

Dataset version, input hashes and reconstruction rules

Dataset version: 396da8dde2874f14; method route-record-v2.1.

Versioned register of every number and the entity map · Input hashes · Correction log · Reconstruction and formulas.

Reconstruction: integer counts inside the rounding bounds of shares of D, summing to M. Ambiguity is preserved as a range of feasible counts; non-convergence stays in quarantine. The map of codes and coordinates is pinned by hash alongside the data. Raw CSV files are not included in the published output.

Your trip has already gone wrong — what now?

The official route to complain

Contact the airline first, then the relevant ADR body or the CAA. The right to care is assessed separately from compensation; time limits and circumstances are checked case by case. CAA: how to complain.

Reconstruction and formulas

Open the versioned claim register

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